ML/Generative AI Engineer

This is a full time ML Gen AI Junior Developer requiring you to relocate to Seattle. We will provide 6 weeks of training and continued mentorship. Only resume you submit by LinkedIn not email will be reviewed. You must live in Seattle otherwise relocate at your own expense to start in May 2026 You will have 1 to 2 years working experience after your graduation You are required to be in the office for 3 days per week Job Description: As a Generative AI Junior Developer at Capgemini, you'll leverage your expertise in large language models, agentic AI solutions, natural language processing algorithms, and software architecture to Design and implement advanced generative AI solutions. You'll collaborate with clients and internal teams to understand business requirements, lead solution design, and ensure compliance with governance frameworks. Key Responsibilities: Design and develop Generative AI and Agentic AI based solutions according to client needs considering factors such as data integration, scalability, and security. Serve as the subject matter expert on AI technologies, hands-on development of GenAI solutions. Evaluate and select appropriate generative AI components and algorithms based on project objectives. Extensive knowledge and confidence in concepts of Deep Learning, Natural Language Processing and model building. Define governance frameworks for the ethical use of generative AI technologies and ensure compliance with regulatory requirements. Required skills : 2 years and less of professional work experience in designing, developing and implementing large language model (Open AI GPT's/other popular LLM's) implementations using Azure OpenAI service/Databricks. Hands-on experience with Azure Machine Learning Studio, Notebooks, CLI, Experiment Management, Model Registry, Deployment options, and Monitoring. Proficient in MLOps and LLMOps, specializing in Computer vision and Natural language tasks like instance segmentation, object detection, image classification, text classification, QA, translation and text generation. Design, develop, and implement machine learning models, focusing on generative AI and NLP based on customer requirements. Data integration using Azure Data Factory and Data Lake Storage for AI and machine learning workloads. Security and access control with Azure Active Directory and Azure RBAC within the Azure Machine Learning workspace. Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch. Familiarity with software architecture principles, cloud computing platforms, and containerization technologies. Excellent problem-solving skills, analytical thinking, and communication skills. The base compensation range for this role in the posted location is $46,400 to $111,090. Capgemini provides compensation range information in accordance with applicable pay transparency laws. The range may change as permitted by law. The actual compensation offered may fall outside of the posted range and will be determined based on factors such as geographic location, education, qualifications, certifications, relevant experience, seniority, performance, market and business considerations, and internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws. Benefits: Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program, which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. All qualified applicants will receive consideration for employment without regard to characteristics protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced to communicate the manner in which this position traditionally is performed. Capgemini will consider reasonable accommodations for individuals with disabilities, provided such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during recruitment. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. #J-18808-Ljbffr Capgemini